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Healthy People 2010 .
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1. Social disparities in maternal, child, and reproductive health: Work of the Center on Social Disparities in Health
2. Healthy People 2010 “Achieving Equity– The Healthy People Perspective”
“Healthy People 2010 is firmly dedicated to the principle that – regardless of age, gender, race, ethnicity, income, education, geographic location, disability, and sexual orientation– every person… deserves equal access to…health care systems…”
HP2010 Vol. 1, p. 16
3. Healthy People 2010 “Achieving Equity– The Healthy People Perspective”
“HP 2010 recognizes that communities, States, and national organizations will need to take a multidisciplinary approach to achieving health equity that involves improving health, education, housing, labor, justice, transportation, agriculture, and the environment.” HP2010 Vol. 1, p. 16
4. Goals of the Center on Social Disparities in Health Address HP 2010 objectives
Address the need for better information – and better use of existing information – to guide efforts to reduce disparities
Studies, ongoing monitoring, dissemination: inform policies to close gaps
Training
U.S. focus with international links
5. Social disparities in health “Health disparities”
Health differences between more and less advantaged social groups
underlying advantage, position in social hierarchy
E.g. groups specified in HP 2010: socioeconomic, racial/ethnic, geographic, age, disability, sexual orientation, and other
6. Why care about health disparities? Ethical principles – justice
Consonant with human rights principles
non-discrimination
rights to health/living standards
Disparities that put already disadvantaged groups at further disadvantage on health
Equal opportunity to be healthy implies concern for disparities in health and its social determinants
7. Why a center at UCSF? Two decades of work on disparities by core faculty (research and informing policy)
Leadership in US and internationally in placing health equity on agenda, developing methods, contributing to knowledge base
Core faculty expertise on maternal, infant, child, adolescent, and reproductive health
Local expertise available to expand
National and international networks
8. Core faculty Paula Braveman
Paul Newacheck
Catherine Cubbin
Susan Egerter
Kristen Marchi
Claire Brindis
Dana Hughes
Geraldine Oliva UCSF Departments of Family and Community Medicine and Pediatrics
UCSF Institute for Health Policy Studies
9. Affiliated faculty, e.g.: Art Reingold
Sylvia Guendelman
Len Syme
Marilyn Winkleby
Eliseo Perez-Stable
Eugene Washington
Nancy Adler
Ed Yelin UC Berkeley School of Public Health
Stanford University
UCSF
10. Current activities MIHA and PRAMS: develop, apply, and disseminate methods for research and ongoing state-level monitoring of disparities
NHIS (1984-01): trends in child and adolescent health disparities; methods for ongoing monitoring
Add Health: individual, household, and contextual factors in disparities in adolescent reproductive health behaviors
Compare trends in health-related spending on children vs adults
11. Early products Methods for research and ongoing monitoring
Measuring SES – PH Reports “2001”/2002
Monitoring health equity -- under review, JHNP
Model for state-level monitoring--Kaiser Policy Brief, in press; submitting paper to AJPH
Inform interventions
Kaiser Policy Brief (3 outcomes)
Analyses re LBW/PTB
Cubbin et al., 2002 MCHJ - unintended childbearing
Under review: Heck et al., breastfeeding (AJPM); Chung et al., sleep position (Amb Peds)
12. Measuring SES in studies of racial/ethnic disparities: Examples from maternal and infant health Paula Braveman, Catherine Cubbin, Kristen Marchi, Susan Egerter, Gilberto Chavez
Published in Public Health Reports during 2002 (“2001”)
Special Issue on Health Disparities
13. Purpose Guide how “SES” is measured in studies of racial/ethnic disparities in: LBW, delayed/no prenatal care, unintended childbearing, and breastfeeding intention
Focus on income and education, the measures used most in US
Address general public health audience
14. Concerns “SES” used throughout health literature but rarely defined
Diverse measures used without justifying why selected, how and when measured, or how interpreted
Conclusions about role of SES can vary based on above
15. What do we mean by “SES”? Socioeconomic status/position
Wealth-- and/or the associated power and social standing/prestige
Income, accumulated economic assets (wealth)
Education (prestige, wealth, power)
Occupation (power, prestige, wealth)
Multidimensional construct -- yet health studies often use a single SES measure
16. Without adequate SES measurement... Can’t assess role of SES in health or its contribution to other associations, e.g., between race/ethnicity and health
Racial/ethnic disparities often interpreted to reflect biological or “cultural” differences without adequately considering SES role
17. Methods Large (n > 10,000) statewide representative face-to-face postpartum survey in random sample of 19 California delivery hospitals, 1994-95
English and Spanish
Linked with birth certificates and census data
Sample characteristics similar to statewide population
18. Terms SES dimensions: different general constructs: income/wealth, education, occupation
Ways of specifying SES constructs e.g.:
income; income as a % of poverty level; income per family size (more specific construct)
continuous vs categorical (and how categorized)
level: maternal, paternal, household, community
timing in life cycle
19. Individual-/household-level SES measures: Income Before-tax family income
% of federal poverty level in 5 categories
continuous (log income in dollars)
quartiles based on continuous income
continuous income per family size
quartiles based on income per family size
Information missing for only 5%
20. Educational attainment “Household education”: schooling of the most educated parent
Schooling in years (maternal, paternal, household)
source: birth certificate
Maternal, paternal, household schooling in levels:
source: maternal level from survey
paternal level estimated from years in birth certificate
21. Race/ethnicity Social construct
Region of family origin and/or associated superficial physical characteristics, which could influence experiences and responses
Mutually exclusive categories
African American
Asian/Pacific Islander
European American
Latina
22. Outcome measures LBW
delayed or no prenatal care
unintended childbearing (not trying)
Not intending to breastfeed when interviewed in delivery hospital
23. Other variables Age (years) and parity (1, 2-4, 5+ births)
could confound associations between SES measures and health outcomes
But age and parity could be on causal pathway between an SES measure and a health outcome
so their inclusion could diminish observed association and mislead on role of SES